TAILIEUCHUNG - Báo cáo khoa học: "Speech Technology: from Research to the Industry of Human-Machine Communication"

This tutorial is about the evolution of speech technology from research to a mature industry. Today, spoken language communication with computers is becoming part of everyday life. Thousands of interactive applications using spoken language technology— known also as “conversational machines”—are only phone calls away, allowing millions of users each day to access information, perform transactions, and get help. Speech recognition, language understanding, text-to-speech synthesis, machine learning, and dialog management enabled this revolution after more than 50 years of research. . | Speech Technology from Research to the Industry of Human-Machine Communication Roberto Pieraccini SpeechCycle 26 Broadway 11th Floor New York NY 10004 roberto@ 1 Introduction This tutorial is about the evolution of speech technology from research to a mature industry. Today spoken language communication with computers is becoming part of everyday life. Thousands of interactive applications using spoken language technology known also as conversational machines are only phone calls away allowing millions of users each day to access information perform transactions and get help. Speech recognition language understanding text-to-speech synthesis machine learning and dialog management enabled this revolution after more than 50 years of research. The industry of speech continues to mature with its evolving standards platforms architectures and business models within different sectors of the market. 2 Content Overview In this tutorial I will briefly trace the history of speech technology with a special focus on speech recognition and spoken language understanding from the early attempts to today s commercial deployments. I will summarily describe the most successful ideas and algorithms that brought to today s technology. I will discuss the struggle for ever increasing performance the importance of data for training and evaluation and the role played by government funded projects in creating effective evaluation benchmarks. I will then describe the birth of the speech industry in the mid 1990s with the role played by the Voice User Interface and dialog engineering disciplines in bringing speech recognition from a laboratory accuracy challenge to an enabler of usable interfaces. I will describe the rising of standards such as VoiceXML SRGS SSML etc. and their importance in the growth of the market. I will proceed with an overview of the current architectures and processes utilized for creating commercial spoken dialog systems and will provide several case .

• Báo cáo khoa học
• Speech Technology
• from Research to the Industry
• Human Machine Communication
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Journal of Science and Technology
• A formula to calculate pruning threshold
• The part of speech tagging problem
• The Wall Street Journal
• Hidden Markov model
• Part of speech tagging
• Information and communication technology
• Two step sinusoidal pitch contour formulation
• Expressive speech synthesisan iterated two step sinusoidal pitch contour
• Expressive speech synthesis
• Pitch contour formulation
• Blind multi channel speech separation
• Spatial estimation in two speaker environments
• Expense of permutation ambiguity
• Mixture of two speech signals
• information technology
• programming techniques
• materials informatics
• computer tips
• audio processing images
• image processing
• Matlab
• Introduction to TCP IP Networks
• Other Types of Hardware
• computer applications
• BMC Pediatrics
• Down’s syndrome
• Assistive technology
• Augmentative and alternative communication
• Speech generating devices
• XML 2nd Edition
• XML standard
• namespaces
• schemas
• Cascading Style Sheets
• object model
• programming technology
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học